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      Does plant ecosystem thermoregulation occur? An extratropical assessment at different spatial and temporal scales

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          Summary

          • To what degree plant ecosystems thermoregulate their canopy temperature ( T c) is critical to assess ecosystems' metabolisms and resilience with climate change, but remains controversial, with opinions from no to moderate thermoregulation capability.

          • With global datasets of T c, air temperature ( T a), and other environmental and biotic variables from FLUXNET and satellites, we tested the ‘limited homeothermy’ hypothesis (indicated by T c & T a regression slope < 1 or T c < T a around midday) across global extratropics, including temporal and spatial dimensions.

          • Across daily to weekly and monthly timescales, over 80% of sites/ecosystems have slopes ≥1 or T c > T a around midday, rejecting the above hypothesis. For those sites unsupporting the hypothesis, their T cT a difference (Δ T) exhibits considerable seasonality that shows negative, partial correlations with leaf area index, implying a certain degree of thermoregulation capability. Spatially, site‐mean Δ T exhibits larger variations than the slope indicator, suggesting Δ T is a more sensitive indicator for detecting thermoregulatory differences across biomes. Furthermore, this large spatial‐wide Δ T variation (0–6°C) is primarily explained by environmental variables (38%) and secondarily by biotic factors (15%).

          • These results demonstrate diverse thermoregulation patterns across global extratropics, with most ecosystems negating the ‘limited homeothermy’ hypothesis, but their thermoregulation still occurs, implying that slope < 1 or T c < T a are not necessary conditions for plant thermoregulation.

          Abstract

          See also the Commentary on this article by Drake, 238: 921–923 .

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          Most cited references74

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          A biochemical model of photosynthetic CO2 assimilation in leaves of C 3 species.

          Various aspects of the biochemistry of photosynthetic carbon assimilation in C3 plants are integrated into a form compatible with studies of gas exchange in leaves. These aspects include the kinetic properties of ribulose bisphosphate carboxylase-oxygenase; the requirements of the photosynthetic carbon reduction and photorespiratory carbon oxidation cycles for reduced pyridine nucleotides; the dependence of electron transport on photon flux and the presence of a temperature dependent upper limit to electron transport. The measurements of gas exchange with which the model outputs may be compared include those of the temperature and partial pressure of CO2(p(CO2)) dependencies of quantum yield, the variation of compensation point with temperature and partial pressure of O2(p(O2)), the dependence of net CO2 assimilation rate on p(CO2) and irradiance, and the influence of p(CO2) and irradiance on the temperature dependence of assimilation rate.
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            Mixed effects models and extensions in ecology with R

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              High-resolution mapping of global surface water and its long-term changes.

              The location and persistence of surface water (inland and coastal) is both affected by climate and human activity and affects climate, biological diversity and human wellbeing. Global data sets documenting surface water location and seasonality have been produced from inventories and national descriptions, statistical extrapolation of regional data and satellite imagery, but measuring long-term changes at high resolution remains a challenge. Here, using three million Landsat satellite images, we quantify changes in global surface water over the past 32 years at 30-metre resolution. We record the months and years when water was present, where occurrence changed and what form changes took in terms of seasonality and persistence. Between 1984 and 2015 permanent surface water has disappeared from an area of almost 90,000 square kilometres, roughly equivalent to that of Lake Superior, though new permanent bodies of surface water covering 184,000 square kilometres have formed elsewhere. All continental regions show a net increase in permanent water, except Oceania, which has a fractional (one per cent) net loss. Much of the increase is from reservoir filling, although climate change is also implicated. Loss is more geographically concentrated than gain. Over 70 per cent of global net permanent water loss occurred in the Middle East and Central Asia, linked to drought and human actions including river diversion or damming and unregulated withdrawal. Losses in Australia and the USA linked to long-term droughts are also evident. This globally consistent, validated data set shows that impacts of climate change and climate oscillations on surface water occurrence can be measured and that evidence can be gathered to show how surface water is altered by human activities. We anticipate that this freely available data will improve the modelling of surface forcing, provide evidence of state and change in wetland ecotones (the transition areas between biomes), and inform water-management decision-making.
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                Author and article information

                Contributors
                Journal
                New Phytologist
                New Phytologist
                Wiley
                0028-646X
                1469-8137
                May 2023
                December 10 2022
                May 2023
                : 238
                : 3
                : 1004-1018
                Affiliations
                [1 ] School for Biological Sciences The University of Hong Kong Pokfulam Road Hong Kong China
                [2 ] Forest Ecosystems and Society Oregon State University Corvallis OR 97331 USA
                [3 ] Department of Landscape Architecture and Rural Systems Engineering College of Agriculture and Life Sciences, Seoul National University Gwanak‐gu Seoul South Korea
                [4 ] Department of Environmental Science, Policy, and Management University of California Berkeley CA 94720 USA
                [5 ] Institute for Climate and Carbon Neutrality The University of Hong Kong Hong Kong China
                [6 ] State Key Laboratory of Earth Surface Processes and Resources Ecology Beijing Normal University Beijing 100875 China
                [7 ] Department of Mathematics The University of Hong Kong Hong Kong China
                [8 ] State Key Laboratory of Agrobiotechnology The Chinese University of Hong Kong Shatin Hong Kong China
                Article
                10.1111/nph.18632
                18c98629-c737-457a-bbac-33aaab8ccdc9
                © 2023

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